KDnuggets
SEPTEMBER 1, 2022
Subset selection is one of the most frequently performed tasks while manipulating data. Pandas provides different ways to efficiently select subsets of data from your DataFrame.
Analytics Vidhya
SEPTEMBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].
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Dataconomy
SEPTEMBER 6, 2022
Modernizing industries depend heavily on emerging technologies. These technologies, like artificial intelligence, are primarily impactful for the manufacturing, energy, and transportation sectors. Enterprises are being transformed into a digital environment with emerging technologies. Every time the phrase “technology” is used, something new is always being developed or put into use.
DataRobot Blog
SEPTEMBER 1, 2022
The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. At the same time, AI remains complex and out of reach for many. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Smart Data Collective
SEPTEMBER 30, 2022
Last decade made a pretty bold promise to digital advertising, which more than other industries suffers from insufficient transparency and a fraudulent environment. The IAB Tech Lab conferences , in particular, frequently gathered blockchain evangelists and ad tech experts who discussed how this technology would finally drive authentication to programmatic chains.
FlowingData
SEPTEMBER 27, 2022
To teach, learn, and measure the process of analysis more concretely, Lucy D’Agostino McGowan, Roger D. Peng, and Stephanie C. Hicks explain their work in the Journal of Computational and Graphical Statistics : The design principles for data analysis are qualities or characteristics that are relevant to the analysis and can be observed or measured.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
SEPTEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Recently I searched for an interesting dataset to learn something new. After searching for a long time, I got a dataset on Shark Attacks in Australia. This dataset contains about 1,100 + shark bites and attempted shark bites between 1791 and early 2022, […]. The post Analysis of Australian Shark Attacks appeared first on Analytics Vidhya.
Dataconomy
SEPTEMBER 5, 2022
Data management enables a business process to be more efficient. The majority of contemporary organizations are aware of the value of data. This frequently means depending on the reports produced by the third-party software platforms they use daily for small firms. It is important to combine this data into a.
Tableau
SEPTEMBER 8, 2022
Britt Staniar. Senior Community Program Manager, Recognition Programs . Alyssa Jenson. September 7, 2022 - 8:44pm. September 8, 2022. Congratulations and welcome to the 2022 Tableau Ambassadors. We are beyond thrilled to welcome the 2022 Tableau Ambassadors and their incredible passion for data! Our ambassadors are leaders who partner with us on our mission to help people see and understand data—and make the Tableau Community a more vibrant and inclusive place for all.
Smart Data Collective
SEPTEMBER 30, 2022
Given the growing importance of big data and the rising reliance of businesses on big data analytics to carry out their day-to-day operations, it is safe to say that big data has irrevocably altered the online world for anyone running a digital enterprise or an e-business. Big data’s invaluable insights are an essential factor in the success of enterprises.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
FlowingData
SEPTEMBER 9, 2022
Reuters reported on the fires in the Arctic and the relatively high levels of carbon emissions they release in the atmosphere. The map above shows carbon emissions from wildfire in 2021, and the chart on the right shows totals by latitude, which emphasizes the geography in the north. The illustrations, which I appreciate and have become more of a norm in Reuters pieces, round out the maps and charts with more context: Tags: Arctic , carbon , Reuters , wildfire.
KDnuggets
SEPTEMBER 5, 2022
People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.
Analytics Vidhya
SEPTEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].
Dataconomy
SEPTEMBER 2, 2022
Dataconomy, Europe’s leading media and events platform for the data-driven generation, hosted the 8th edition of Data Natives 2022 (DN22) was a resounding success, welcoming over 1,000 on-site visitors, with thousands more participating via social media. From August 31st to September 2nd, Europe’s largest tech and Artificial Intelligence conference showcased.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Dataversity
SEPTEMBER 16, 2022
As a principal solutions architect, I always start my cloud architecture discussions with the “triangle of truth,” or “holy trinity” of architecture principles for cloud: stability, agility, and security. You must have these three things. The rub is that hitting any two vertices of those pillars is pretty straightforward. Hitting one is trivial. From an […].
Smart Data Collective
SEPTEMBER 29, 2022
OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. There are a number of benefits of using it to your company’s advantage. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations.
FlowingData
SEPTEMBER 2, 2022
Know Your Meme analyzed a decade of meme data to see where the memes have come from, breaking it down by year. It’s all Twitter and TikTok these days, but it used to be YouTube and 4chan. Tags: Know Your Meme , meme.
KDnuggets
SEPTEMBER 16, 2022
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Analytics Vidhya
SEPTEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that preserves a record of digital asset ownership. It is a means to save data and information in a secure digital format. They are well known for their critical function in cryptocurrency systems like Bitcoin, […].
Dataconomy
SEPTEMBER 6, 2022
A machine learning approach developed by researchers at MIT’s Koch Institute and Massachusetts General Hospital (MGH) may aid in cancer diagnosis of the unknown primary by examining gene expression programs associated with early cell development and differentiation. The scientists focused the model on indicators of disrupted developmental pathways in cancer cells to.
Dataversity
SEPTEMBER 26, 2022
AI and machine learning models are being used to help companies stay competitive by discovering new revenue opportunities, improving risk management, detecting fraud, and streamlining business processes. But years ago, data science wasn’t even on the curriculum at universities, so many software engineers are acquiring the necessary skills on their own.
Smart Data Collective
SEPTEMBER 7, 2022
Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing. One of the most important ways that companies can use data mining in their marketing strategies is with SEO. Data mining is especially useful in the context of offsite SEO.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
FlowingData
SEPTEMBER 1, 2022
The American Time Use Survey asks people to log their activities for a day, and in the most recent release, people also rated the meaningfulness of the activities. Here’s how activity categories rated, sorted by most meaningful to least meaningful. Read More.
KDnuggets
SEPTEMBER 29, 2022
TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.
Analytics Vidhya
SEPTEMBER 22, 2022
Introduction Data science is the study of data to gain important business insights. It combines concepts and methods from the domains of mathematics, statistics, AI, and computer engineering. We at Analytics Vidhya believe in Knowledge sharing, and that’s why we Organize DataHour Sessions every day so that you can Brush up on your Data Science […].
Dataconomy
SEPTEMBER 5, 2022
Nvidia said on Wednesday that US officials had warned it to cease shipping two key AI chips to China for artificial intelligence work, a move that may impair Chinese enterprises’ capacity to execute advanced work such as image recognition and undermine Nvidia’s operations in the nation. After hours, Nvidia’s shares.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Dataversity
SEPTEMBER 19, 2022
In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment. In this article, I follow up by laying out the problems with traditional Data Management and why data empowerment is now […].
Smart Data Collective
SEPTEMBER 5, 2022
Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? Why is it so important in the data science profession ? What Is Python? Python is a powerful programming language that is widely used in many different industries today.
FlowingData
SEPTEMBER 26, 2022
Wildfire obviously damages the areas it comes in direct contact with, but wildfire smoke can stretch much farther. Based on research by Childs et al. , Mira Rojanasakul, for The New York Times, shows how pollution from smoke spread between 2006 and 2020. My kids’ rooms still have air filters from a few years ago, when a fire many miles away made the sky orange and our indoor environment smokey.
KDnuggets
SEPTEMBER 26, 2022
The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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